Fuzzy Attack Tree: Assessing Cyberattack Risk Using Attack Tree and Fuzzy Logic-Reference-Cited by-同舟云学术

Fuzzy Attack Tree: Assessing Cyberattack Risk Using Attack Tree and Fuzzy Logic

Published:2023-12-08 Issue: Volume:249 Page:1-9
ISSN:
Container-title:2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
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Author:

Naik Nitin¹,Jenkins Paul²,Grace Paul¹,Naik Dishita³,Song Jingping⁴,Prajapat Shaligram⁵,Mishra Durgesh⁶,Yang Longzhi⁷,Boongoen Tossapon⁸,Iam-On Natthakan⁸

Affiliation:

1. School of Informatics and Digital Engineering, Aston University,United Kingdom

2. Cardiff School of Technologies, Cardiff Metropolitan University,United Kingdom

3. Birmingham City University,United Kingdom

4. Software College, Northeastern University,China

5. International Institute of Professional Studies, Devi Ahilya University,India

6. School of Computer Science & Information Technology, Symbiosis University of Applied Sciences,India

7. Northumbria University,Department of Computer and Information Sciences,United Kingdom

8. Aberystwyth University,Department of Computer Science,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456309.pdf?arnumber=10456309

Reference23 articles.

1. Comparing Attack Models for IT Systems: Lockheed Martin’s Cyber Kill Chain, MITRE ATT&CK Framework and Diamond Model

2. An evaluation of potential attack surfaces based on attack tree modelling and risk matrix applied to self-sovereign identity

3. Cyberattack analysis based on attack tree with weighted average probability and risk of attack;Naik

4. Analysing Cyberattacks Using Attack Tree and Fuzzy Rules

5. Cyberattack Analysis Utilising Attack Tree with Weighted Mean Probability and Risk of Attack